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Foundations Of Fuzzy Control

Author: Jan Jantzen
Publisher: John Wiley & Sons
ISBN: 1118535596
Size: 43.51 MB
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Foundations of Fuzzy Control: A Practical Approach, 2ndEdition has been significantly revised and updated, with twonew chapters on Gain Scheduling Control and Neurofuzzy Modelling.It focuses on the PID (Proportional, Integral, Derivative) typecontroller which is the most widely used in industry andsystematically analyses several fuzzy PID control systems andadaptive control mechanisms. This new edition covers the basics of fuzzy control and builds asolid foundation for the design of fuzzy controllers, by creatinglinks to established linear and nonlinear control theory. Advancedtopics are also introduced and in particular, common sense geometryis emphasised. Key features Sets out practical worked through problems, examples and casestudies to illustrate each type of control system Accompanied by a website hosting downloadable MATLABprograms Accompanied by an online course on Fuzzy Control which istaught by the author. Students can access further materialand enrol at the companion website Foundations of Fuzzy Control: A Practical Approach, 2ndEdition is an invaluable resource for researchers,practitioners, and students in engineering. It is especiallyrelevant for engineers working with automatic control ofmechanical, electrical, or chemical systems.

The Foundations Of Fuzzy Control

Author: Harold W. Lewis
Publisher: Springer Science & Business Media
ISBN: 148991854X
Size: 17.99 MB
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Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of fuzzy control concepts. With the aid of fifty-seven illustrations, he thoroughly presents a unique mathematical formalism to explain the workings of the fuzzy inference engine and a novel test plant used in the research. Additionally, the text posits a new viewpoint on why fuzzy control is more popular in some countries than in others. A direct and original view of Japanese thinking on fuzzy control methods, based on the author's personal knowledge of - and association with - Japanese fuzzy research, is also included.

Design Of Interpretable Fuzzy Systems

Author: Krzysztof Cpałka
Publisher: Springer
ISBN: 3319528815
Size: 19.42 MB
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This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base. The individual chapters describe various aspects of interpretability, including appropriate selection of the structure of a fuzzy system, focusing on improving the interpretability of fuzzy systems designed using both gradient-learning and evolutionary algorithms. It also demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction does not adversely affect system accuracy. It illustrates the performance of the developed algorithms and methods with commonly used benchmarks. The book provides valuable tools for possible applications in many fields including expert systems, automatic control and robotics.

Fuzzy Logic

Author: F. Martin McNeill
Publisher: Academic Press
ISBN: 1483266222
Size: 54.14 MB
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Fuzzy Logic: A Practical Approach focuses on the processes and approaches involved in fuzzy logic, including fuzzy sets, numbers, and decisions. The book first elaborates on fuzzy numbers and logic, fuzzy systems on the job, and Fuzzy Knowledge Builder. Discussions focus on formatting the knowledge base for an inference engine, personnel detection system, using a knowledge base in an inference engine, fuzzy business systems, industrial fuzzy systems, fuzzy sets and numbers, and quantifying word-based rules. The text then elaborates on designing a fuzzy decision and Fuzzy Thought Amplifier for complex situations. Topics include origins of cognitive maps, Fuzzy Thought Amplifier, training a map to predict the future, introducing the Fuzzy Decision Maker, and merging interests. The publication takes a look at fuzzy associative memory, fuzzy sets as hypercube points, and disk files and descriptions, including Fuzzy Thought Amplifier, Fuzzy Decision Maker, and composing and creating a memory. The text is a valuable source of data for researchers interested in fuzzy logic.

Fuzzy Set Theory And Advanced Mathematical Applications

Author: Da Ruan
Publisher: Springer Science & Business Media
ISBN: 1461523575
Size: 61.81 MB
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Fuzzy Set Theory and Advanced Mathematical Applications contains contributions by many of the leading experts in the field, including coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control. The book supplies a readable, practical toolkit with a clear introduction to fuzzy set theory and its evolution in mathematics and new results on foundations of fuzzy set theory, decision making and systems science, and fuzzy control and neural systems. Each chapter is self-contained, providing up-to-date coverage of its subject. Audience: An important reference work for university students, and researchers and engineers working in both industrial and academic settings.

Fuzzy Systems Design Principles

Author: Riza C. Berkan
Publisher: Wiley-IEEE Press
ISBN: 9780780311510
Size: 28.51 MB
Format: PDF
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This exceptional guide and reference is devised for practitioners who want to employ fuzzy logic concepts in the design and deployment of actual fuzzy systems. FUZZY SYSTEMS DESIGN PRINCIPLES concentrates on the IF-THEN fuzzy algorithm, one of the most popular algorithms implemented today. The "basic fuzzy inference algorithm," the IF-THEN structure is not only applicable to many types of problems, but is also comprised of building blocks used in the development of other types of fuzzy systems used in today's electronic and software products. Sponsored by: IEEE Neural Networks Council.

Fuzzy Modelling

Author: Witold Pedrycz
Publisher: Springer Science & Business Media
ISBN: 9780792397038
Size: 35.23 MB
Format: PDF
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Fuzzy Modelling: Paradigms and Practice provides an up-to-date and authoritative compendium of fuzzy models, identification algorithms and applications. Chapters in this book have been written by the leading scholars and researchers in their respective subject areas. Several of these chapters include both theoretical material and applications. The editor of this volume has organized and edited the chapters into a coherent and uniform framework. The objective of this book is to provide researchers and practitioners involved in the development of models for complex systems with an understanding of fuzzy modelling, and an appreciation of what makes these models unique. The chapters are organized into three major parts covering relational models, fuzzy neural networks and rule-based models. The material on relational models includes theory along with a large number of implemented case studies, including some on speech recognition, prediction, and ecological systems. The part on fuzzy neural networks covers some fundamentals, such as neurocomputing, fuzzy neurocomputing, etc., identifies the nature of the relationship that exists between fuzzy systems and neural networks, and includes extensive coverage of their architectures. The last part addresses the main design principles governing the development of rule-based models. Fuzzy Modelling: Paradigms and Practice provides a wealth of specific fuzzy modelling paradigms, algorithms and tools used in systems modelling. Also included is a panoply of case studies from various computer, engineering and science disciplines. This should be a primary reference work for researchers and practitioners developing models of complex systems.

Data Mining

Author: Thomas A. Runkler
Publisher: Springer-Verlag
ISBN: 3834893536
Size: 23.84 MB
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Dieses Buch behandelt die wichtigsten Methoden zur Erkennung und Extraktion von „Wissen“ aus numerischen und nichtnumerischen Datenbanken in Technik und Wirtschaft. Es vermittelt einen kompakten, fundierten Überblick über die verschiedenen Methoden sowie deren Motivation und versetzt den Leser in die Lage, Data Mining selbst praktisch einzusetzen.

Fuzzy Modeling And Fuzzy Control

Author: Huaguang Zhang
Publisher: Springer Science & Business Media
ISBN: 081764539X
Size: 80.88 MB
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Fuzzy logic methodology has proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology is applicable to many real-world problems, especially in the area of consumer products. This book presents the first comprehensive, unified treatment of fuzzy modeling and fuzzy control, providing tools for the control of complex nonlinear systems. Coverage includes model complexity, model precision, and computing time. This is an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, and also useful for graduate courses in electrical engineering, computer engineering, and computer science.

Fuzzy Control

Author: Kevin M. Passino
Publisher: Addison Wesley Longman
ISBN:
Size: 72.71 MB
Format: PDF, Mobi
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Fuzzy control is emerging as a practical alternative to conventional methods of solving challenging control problems. Written by two authors who have been involved in creating theoretical foundations for the field and who have helped assess the value of this new technology relative to conventional approaches, Fuzzy Control is filled with a wealth of examples and case studies on design and implementation. Computer code and MATLAB files can be downloaded for solving the book's examples and problems and can be easily modified to implement the reader's own fuzzy controllers or estimators. Drawing on their extensive experience working with industry on implementations, Kevin Passino and Stephen Yurkovich have written an excellent hands-on introduction for professionals and educators interested in learning or teaching fuzzy control.